Run: 2026-09-01-01M1EM4RZ7H62M93468BE39KFC

Run Details

Duration:
4m 21s
Cost:
$0.060110
Provider:
xAI

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
The rain fell in sheets that turned Soho's streets into a maze of reflections. Detective Harlow Quinn stood opposite The Raven's Nest, the distinctive green neon sign painting the wet pavement in sickly hues. Water ran from her closely cropped salt-and-pepper hair, traced the sharp line of her jaw, soaked the worn leather watch on her left wrist until the strap darkened. The suspect emerged from the bar's side entrance, collar up, head down. He lifted his gaze. Their eyes met across the road. He ran. Quinn moved with military precision. She crossed against the light, a lorry's brakes screaming behind her. "Police! Halt!" The command echoed off the buildings. The man in the dark coat didn't slow. He cut left into an alley slick with refuse. She entered the alley a second later. Walls rose high, blocking the neon. Darkness and the drum of rain on her shoulders. He kicked a metal bin into her path. It clattered, contents spilling. She sidestepped the mess, kept her footing on the uneven ground. The alley ended at a courtyard. He scaled a chain-link fence. She hit it at speed, fingers finding holds, pulled herself over. The fence rattled. She dropped, rolled, came up running. Out onto a busier thoroughfare. Pedestrians scattered. Umbrellas tilted. A man with a briefcase stepped into her path. "What's going on?" "Stay back." She didn't break stride. The suspect weaved between cars stopped at a light. She followed, palms slapping wet metal as she used a bonnet for balance. A driver opened his door. She slammed it shut with her hip, continued. Rain plastered her clothes to her body. The coat grew heavy. She ran on. He turned north. Blocks passed. Her breath came steady, training holding. The watch on her wrist bounced, a constant rhythm. She keyed the radio while her boots hammered the pavement. "Control, Quinn. Pursuit from Soho, heading north. Backup to Camden. Now." Static answered, then a clipped voice. "Units rolling. Description?" "Male, dark coat, five-ten. Moving fast." She released the button. No time for more. He led her through a market square, stalls shuttered for the night, canvas flapping in the wind. He grabbed a pole, swung around it to change direction. She anticipated, cut the corner, closed the distance to five metres. He threw a glance over his shoulder. Then a delivery van pulled out. He used it as cover, disappeared behind. She rounded it. A flash of coat down a side passage. She pursued. The passage opened to a construction site, hoardings around a pit. Mud and rain mixed into a glue that grabbed at her boots. Each step a fight. He had lighter shoes, pulled ahead. She found firmer ground along the edge, gained again. Over a pile of pallets. Splinters bit her palm. She didn't feel it. Residential streets next, quieter, the rain the only sound besides their feet. He jumped a garden wall. She followed. A security light blazed on, illuminating the downpour in silver. A dog in the house barked furiously. Through the garden, rose thorns snagged her sleeve, tore fabric. She ripped free. Another wall, then a mews with parked cars. He ran between them. An alarm triggered, whooping into the night. She ignored it. The canal appeared, dark water to the left, path to the right. He took the path. She matched him, the stones treacherous, moss-slick. A cyclist appeared from the opposite direction, light cutting the rain. "Move!" The suspect shoved past. The bike wobbled, went down. Quinn leapt the fallen cycle. She was close now. Close enough to see the strain in his shoulders. He took the steps two at a time up from the canal, into Camden proper. The streets here held the remnants of the day's market, wet cardboard, discarded fruit. He made for the old station, the abandoned Tube stop whose sign was barely visible under grime and rain. Corrugated sheets blocked the entrance. He knew the weak point, peeled one back, squeezed through, vanished down. Quinn hit the sheets. Metal cut her fingers as she forced a wider gap. She dropped into the stairwell. The world of rain and city noise cut off. In its place, echoing drips, the slap of his shoes on concrete below, her own controlled breathing. Steps worn smooth by time. She took them fast, hand on the railing that crumbled under her grip. The platform stretched out, a relic. Tiles missing, posters from another decade peeling in strips. The tracks below held stagnant water that reflected nothing. He was at the far end, at a wall of bricks that sealed an old tunnel. From inside his coat, the bone token. Pale, the size of a coin, etched with marks that caught what little light existed. He pressed it to the centre brick. The wall didn't open. It ceased to be solid. A haze, then a view through to another space. He stepped into The Veil Market. Quinn reached the wall as the haze began to thicken again. Beyond: the abandoned station alive with commerce of another kind. Stalls of rough wood and iron lined the old tracks and platforms, laden with bottles that glowed from within, powders in stoppered jars, blades that hummed without being touched. Figures moved between them. Some wore ordinary coats. Others did not. The air carried incense and ozone and the tang of substances that had no place in any licensed pharmacy. The suspect melted into the throng, heading deeper among the enchanted goods and the whispered deals. She had no bone token. The entry requirement hung between her and the pursuit. Her brown eyes took in the scene. Unfamiliar territory. The files mentioned alchemical substances banned for reasons that never made the official reports, information sold to the highest bidder in a place that relocated with every full moon. The radio at her shoulder remained silent. Backup would search the streets above. They would not find this stairwell in time, if they found it at all. She stood at the threshold, rain still falling from her hair, from her coat, pooling at her boots on the dusty platform. The worn leather watch marked the seconds. Follow, and step into a world of rules she did not know, with no support and no token. Stay, and watch the suspect vanish into the market that would pack up and disappear before dawn. Her jaw tightened. Military precision demanded a choice. The haze of the entrance waited.
created_at"2026-09-01T13:57:07.186Z" 9/1/2026, 1:57:07 PM
model"x-ai/grok-4.6-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency591
moderation_latency(null)
generation_time260880
tokens_prompt1104
tokens_completion3605
native_tokens_prompt1186
native_tokens_completion9655
native_tokens_completion_images(null)
native_tokens_reasoning8285
native_tokens_cached128
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"default"
usage0.06011
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788271027-6rPEFF24mL9nVKO7kEHL"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788271027-ad38HWkMZo8xq0ccIKcK"
upstream_id"bd057c8e-88f5-9442-9846-84fcc8b7682e"
provider_responses
0
endpoint_id"0d0536e3-7eb1-4acb-8249-c8813365c2d8"
id"bd057c8e-88f5-9442-9846-84fcc8b7682e"
is_byokfalse
latency586
model_permaslug"x-ai/grok-4.6-20260810"
provider_name"xAI"
status200
total_cost0.06011
cache_discount0.000192
upstream_inference_cost0
provider_name"xAI"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1076
totalAiIsmAdverbs0
found(empty)
highlights(empty)
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
76.77% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1076
totalAiIsms5
found
0
word"traced"
count1
1
word"echoed"
count1
2
word"treacherous"
count1
3
word"echoing"
count1
4
word"etched"
count1
highlights
0"traced"
1"echoed"
2"treacherous"
3"echoing"
4"etched"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences126
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences126
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences133
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen30
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1076
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions13
wordCount1048
uniqueNames9
maxNameDensity0.48
worstName"Quinn"
maxWindowNameDensity1
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn5
Raven1
Nest1
Camden1
Tube1
Veil1
Market1
persons
0"Harlow"
1"Quinn"
2"Raven"
places
0"Soho"
1"Camden"
2"Veil"
3"Market"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences80
glossingSentenceCount1
matches
0"appeared, dark water to the left, path to the right"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1076
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences133
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs64
mean16.81
std13.2
cv0.785
sampleLengths
062
122
22
316
42
523
645
731
89
99
103
112
124
1335
1414
1520
1610
1711
186
193
206
218
2238
237
2416
258
262
2733
289
2913
3012
3124
3213
3319
343
3523
3611
371
3814
3913
4029
4119
4217
4319
4426
4518
4624
4716
4822
497
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences126
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs189
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences133
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1052
adjectiveStacks0
stackExamples(empty)
adverbCount14
adverbRatio0.013307984790874524
lyAdverbCount5
lyAdverbRatio0.004752851711026616
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences133
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences133
mean8.09
std5.39
cv0.666
sampleLengths
014
120
228
312
44
56
62
75
811
92
106
118
129
137
146
159
168
174
1811
196
205
2111
223
236
245
252
262
279
283
292
304
319
3213
335
348
357
364
373
383
392
406
419
4210
4311
446
453
466
474
484
4917
61.90% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.39849624060150374
totalSentences133
uniqueOpeners53
28.01% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences119
matches
0"Then a delivery van pulled"
ratio0.008
55.29% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount49
totalSentences119
matches
0"He lifted his gaze."
1"Their eyes met across the"
2"She crossed against the light,"
3"He cut left into an"
4"She entered the alley a"
5"He kicked a metal bin"
6"It clattered, contents spilling."
7"She sidestepped the mess, kept"
8"He scaled a chain-link fence."
9"She hit it at speed,"
10"She dropped, rolled, came up"
11"She didn't break stride."
12"She followed, palms slapping wet"
13"She slammed it shut with"
14"She ran on."
15"He turned north."
16"Her breath came steady, training"
17"She keyed the radio while"
18"She released the button."
19"He led her through a"
ratio0.412
18.82% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount105
totalSentences119
matches
0"The rain fell in sheets"
1"Detective Harlow Quinn stood opposite"
2"Water ran from her closely"
3"The suspect emerged from the"
4"He lifted his gaze."
5"Their eyes met across the"
6"Quinn moved with military precision."
7"She crossed against the light,"
8"The command echoed off the"
9"The man in the dark"
10"He cut left into an"
11"She entered the alley a"
12"Walls rose high, blocking the"
13"Darkness and the drum of"
14"He kicked a metal bin"
15"It clattered, contents spilling."
16"She sidestepped the mess, kept"
17"The alley ended at a"
18"He scaled a chain-link fence."
19"She hit it at speed,"
ratio0.882
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences119
matches(empty)
ratio0
67.67% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences38
technicalSentenceCount4
matches
0"In its place, echoing drips, the slap of his shoes on concrete below, her own controlled breathing."
1"Stalls of rough wood and iron lined the old tracks and platforms, laden with bottles that glowed from within, powders in stoppered jars, blades that hummed with…"
2"The files mentioned alchemical substances banned for reasons that never made the official reports, information sold to the highest bidder in a place that reloca…"
3"She stood at the threshold, rain still falling from her hair, from her coat, pooling at her boots on the dusty platform."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
86.9490%